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Fluctuations of stochastic PDEs with long-range correlations

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arxiv 2303.09811 v3 pith:XBCO3XQ3 submitted 2023-03-17 math.PR math-phmath.MP

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keywords equationfluctuationskappanoisesolutionstochasticconvergecorrelation
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abstract

We study the large-scale dynamics of the solution to a nonlinear stochastic heat equation (SHE) in dimensions $d \geq 3$ with long-range dependence. This equation is driven by multiplicative Gaussian noise, which is white in time and coloured in space with non-integrable spatial covariance that decays at the rate of $|x|^{-\kappa}$ at infinity, where $\kappa \in (2, d)$. Inspired by recent studies on SHE and KPZ equations driven by noise with compactly supported spatial correlation, we demonstrate that the correlations persist in the large-scale limit. The fluctuations of the diffusively scaled solution converge to the solution of a stochastic heat equation with additive noise whose correlation is the Riesz kernel of degree $-\kappa$. Moreover, the fluctuations converge as a distribution-valued process in the optimal H\"older topologies.

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    The 2d stochastic Burgers equation is logarithmically superdiffusive with sharp constant (3/2π)^{2/3} λ^{4/3}, and under superdiffusive rescaling it converges to an explicit anisotropic linear stochastic heat equation.

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